Underwater image processing always a challenging problem in oceanic engineering applications. Images captured in underwater are commonly suffers due to color distortion, detail blur, bluish or greenish tone, and low contrast to light scattering and absorption in the water medium. The image visibility is affected drastically during capturing caused by the degradation of light absorption and scattering effect. Hence, the effective Underwater Image Enhancement(UIE) and restoration techniques are primarily required for the underwater ecological study applications. Various UIE techniques are studied for different data sets, and applications. However, the selection of suitable method for particular applications among available techniques is still a challenging task. In this paper, an overview of recent UIE and restoration techniques and classification methods are elaborated with data sets and applications. The UIE techniques are grouped under various category such as spatial domain, transform domain, color constancy based method, retinex based approach. Similarly, the image restoration techniques are grouped under underwater optical imaging technique, polarization based approach, prior knowledge and convolutional neural networks. Finally, we review the research process of the underwater image enhancement and restoration with the essential background of the water images and recognize challenges.

Internet of Things (IoT) involve large volumes of data generated from the interactions between devices and people, and security is a main alarm in IoT. Most of the anomaly detection techniques in IoT use supervised machine learning technique which involve huge overhead and high false positives. It is observed that severity of attack response was not considered. In this study, the authors propose to develop an authorisation, attack detection and avoidance framework for IoT devices. Initially, traffic collection agent continuously gathers packet level and flow level information for a given time interval. Then detection agent (DA) first checks the collected information with the attack rules table. If any matching attack pattern is found, it informs the attack type to response agent (RA). On the other hand, if no matching pattern is found, then the classification agent applies multi‐class support vector machine algorithm. Once the RA obtains the attack type from DA, then it estimates the severity of attack by computing the attack frequency over different time windows and appropriate action will be performed. Experimental results show that the proposed framework reduces 13% of unauthorised access and 19% false positive rate thereby increasing the detection accuracy by 0.6% and throughput.

Smart home provides a well secured surroundings and a quality by utilizing the energy resources in an efficient manner. Looking at the worldwide energy crisis, home automation should be made common globally as aquintes sential element in overcoming loss of energy and using renewable resources. One of the basic problems in home automation is the amount of costit demands to get operated. Hence reducing the cost of automation is a factor to be concerned in the world. In this research study, an affordable home automation system based on Arduino microcontroller has been launched that operates with Modbus protocol. A Bluetooth module has been interfaced with Arduino, thus weeding out the deployment of desktops and laptops. The whole system has been tested and observed to run favourably and perform the desired functions like switching ON/OFF, speed regulation of fan, temperature control of AC and light acuteness management (Via Voltage Regulation). A computer-programmed app is designed in the proposedsetup which enables the operators to manage up to 20 devices incorporating various electrical appliances and sensors via Bluetooth technology. In the present world, a majority of home automation systems are designed for specific purposes while proposed system is built to fulfil typical objectives which can be operated in a home without much difficulty. The recommended apparatus exhibits more characteristics than the usual home automation systems as it incorporates an ultrasonic sensor and soil moisture sensor for water table detection and automatic plant irrigation system respectively. The recommended model of this automation system is applied and examined on gadgets and it produced desired results.